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where h0 = m is the number of nodes at the input layer, which is equivalentto the equalizer order and h3 is the number of neurons at the output layer, which is one according to Figure 88 The output value vi') serves as an input to the ( I 1)th layer Since the transmitted binary symbol taken from the set { + 1,-1} has a bipolar nature, the sigmoid type activation in the range of [-1,+1], as function f() of Equation 820 is chosen to provide an output shown in Figure 85(c) The MLP equalizer can be trained adaptively by the so-called error [255] back propagation algorithm described for example Rumelhart, Hinton and Williams by The major difficulty associated with the MLP is that training or determiningthe required weights is essentially a nonlinear optimization problem. asp.net ean 128 EAN - 128 ASP . NET Control - EAN - 128 barcode generator with free ...
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